{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ROC Curve Example\n",
    "\n",
    "### Inspired by: http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html\n",
    "#### This is an example of how to create an ROC Curvs in sklearn vs using the Yellowbrick libarary. The data used is the breast cancer dataset that is included in sklearn."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import some data to play with"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bc = datasets.load_breast_cancer()\n",
    "X = bc.data\n",
    "y = bc.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "random_state = np.random.RandomState(0)\n",
    "# shuffle and split training and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.5,\n",
    "                                                    random_state=random_state)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split the data and prepare data for ROC Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Learn to predict each class against the other\n",
    "classifier = svm.SVC(kernel='linear', probability=True, random_state=random_state)\n",
    "y_score = classifier.fit(X_train, y_train).decision_function(X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Compute ROC curve and ROC area for each class\n",
    "fpr, tpr, _ = roc_curve(y_test, y_score)\n",
    "roc_auc = auc(fpr, tpr)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot ROC Curve using Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAogAAAHMCAYAAABWaFldAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f51dac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "lw = 2\n",
    "plt.plot(fpr, tpr, color='darkorange',\n",
    "         lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver operating characteristic example')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create ROCAUC using YellowBrick"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import yellowbrick as yb \n",
    "from yellowbrick.classifier import ROCAUC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "visualizer = ROCAUC(classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAG6CAYAAACFlgurAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f372d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:py36-test]",
   "language": "python",
   "name": "conda-env-py36-test-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
